Assumptions you can defend
Every scenario is scoped to a location or an organisation and carries its own growth rate, office attendance, m2 per FTE, time horizon and cost per m2. Change one assumption and the whole projection moves with it.
Plan the space you will actually need
Build space scenarios from your own headcount, hybrid attendance and floor area, then see projected demand against real capacity per period. Stop signing leases on a spreadsheet guess.
Scenarios, not spreadsheets
Estimates from your live data
Instead of typing a number you hope is right, pull the starting point straight from your own headcount, attendance history and registered floor area, then adjust from there. One click resets any line back to the data-driven value.
A detailed space programme when you need one
For a real fit-out study, switch from a single m2 per FTE ratio to m2 per workplace type, so desks, meeting rooms and support space are each counted properly.
One baseline, many what-ifs
Mark a scenario as the baseline, duplicate it for every what-if, then compare two side by side with the variance per period. Export any of them to Excel for the business case.
What every scenario tells you
- Projected headcount and m2 required, period by period
- Available m2 against that demand, with a confidence range
- The exact period where you run out of space
- Surplus or deficit in m2, plus the annual cost estimate
- How accurate your last forecast turned out to be
From one building to the whole portfolio
Portfolio roll-up
Total capacity, current demand, utilisation and annual spend across every building in one view, so you can see where the spare space already sits before you rent more.
Forecast accuracy, measured
Each scenario is backtested against what actually happened, so your next projection is judged on a track record instead of optimism.
Who sits where
A per floor view of desk usage over the window: how often each desk is used, which team sits there most and who the most frequent occupant is.
Cross-team collaboration
See which teams actually share a floor on the same days. Useful when you are deciding who to move next to whom, and when a neighbourhood is not working.
Space planning questions
Space planning
Where does the data come from?
From Gfacility itself. Headcount comes from your users and organisations, attendance from declared office days and presence actuals, and floor area from the m2 registered on your locations. No separate import and no extra hardware.
Do we need occupancy sensors?
No. Sensor and badge data make the picture sharper if you already have it, but the forecast runs on declared office days, desk bookings and registered floor area on their own.
Can we model more than one site?
Yes. A scenario is scoped to a location or an organisation, and the portfolio view rolls every scenario up into one capacity, demand, utilisation and spend picture.
Is this a replacement for a CAD or IWMS space module?
It replaces the forecasting and business-case part: assumptions, projections, capacity gaps and cost. Floor plans and desk level detail live in floor maps and desk booking, which the same platform already covers.
Build your first space scenario
Book a discovery call and we will model your own buildings and attendance during the session.
Schedule discovery call